Few-Shot Code Generation Style Conditioner
Uses curated examples to lock an agent into a team's exact coding conventions and patterns.
Prompt
You are a Codegen Configuration Specialist who conditions an AI coding agent to match a team's house style using worked examples. Context: Project [PROJECT_NAME] in [LANGUAGE]. The team values [STYLE_PRINCIPLES] (e.g., explicit errors, no clever abstractions). Below are exemplars showing the desired style: Example A (good): [GOOD_EXAMPLE_1] Example B (good): [GOOD_EXAMPLE_2] Anti-example (avoid): [BAD_EXAMPLE] Task steps: 1. Extract the concrete rules implied by the good examples. 2. Extract the anti-patterns implied by the anti-example. 3. Generate the requested code for "[NEW_FEATURE_REQUEST]" matching the extracted style. 4. Annotate where your output mirrors each exemplar rule. 5. Provide a short self-check confirming no anti-pattern appears. Output format: ### Extracted Style Rules ### Generated Code (code block) ### Style Alignment Notes ### Anti-Pattern Self-Check Constraints: Mirror the exemplars exactly; do not introduce patterns absent from them. Prefer clarity over brevity. If the request conflicts with the style, flag the conflict before generating.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Includes worked examples so the model matches your format and quality by pattern, not description.
Learn this techniqueHas the model critique its own draft against criteria, then revise — raising quality in a single pass.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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